An Unsupervised Probability Model for Speech-to-Translation Alignment of Low-Resource Languages

Article Details
Title:	An Unsupervised Probability Model for Speech-to-Translation Alignment of Low-Resource Languages
Article URLs:	https://doi.org/10.18653/v1/d16-1133 https://www.aclweb.org/anthology/D16-1133/
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Authors:	Antonios Anastasopoulos	University of Notre Dame
	David Chiang	University of Notre Dame
	Long Duong	University of Melbourne
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NSF Award Numbers:	1464553
DBLP Key:	conf/emnlp/AnastasopoulosC16
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ACL Conf. on Empirical Methods in Natural Language Processing, EMNLP 2016